Detection of mental fatigue using an active BCI inspired signal processing chain

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 19, Issue , 2014, Pages 2963-2968

  Roy, R N ^a   Charbonnier, S ^b   Bonnet, S ^a  

^a CEA LETI   (France)

^b GIPSA LAB   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; BRAIN COMPUTER INTERFACE; CHAINS; DISCRIMINANT ANALYSIS; DISEASES; ELECTRODES; GEOMETRY; INTERFACES (COMPUTER);

BINARY CLASSIFICATION; COMMON SPATIAL PATTERNS; FILTERED SIGNALS; FISHER'S LINEAR DISCRIMINANT ANALYSIS; HEALTHY VOLUNTEERS; PROCESSING CHAIN; RIEMANNIAN GEOMETRY; SPATIAL FILTERINGS;

BIOMEDICAL SIGNAL PROCESSING;

EID: 84929716561     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20140824-6-za-1003.00897     Document Type: Conference Paper

References (15)

1. Akerstedt T., and Gillberg M., "Subjective and objective sleepiness in the active individual". International Journal of Neuroscience, Vol. 52, pp. 29-37, 1990.
2. Barachant A. and Bonnet S., "Channel selection procedure using Riemannian distance for BCI applications", in Proc. IEEE Conf. on Neural Eng., Cancun, 2011, pp. 348-351.
3. Belouchrani A., Abed-Meraim K., Cardoso J.F and Moulines E., "A blind source separation technique using second-order statistics", IEEE Trans. Signal Process., Vol. 45, no 2, 1997, pp. 434-444.
4. Blankertz B., Tomioka R., Lemm S., Kawanabe M., and Müller K.-R., "Optimizing spatial filters for robust EEG single-trial analysis", IEEE Signal Proc. Magazine, pp. 581-607, 2008.
5. Jung T.-P, Makeig S., Stensmo M., and Sejnowski T., "Estimating alertness from the EEG power spectrum", IEEE Trans. Biomedical Eng., Vol. 44, pp. 60-69, Jan. 1997.
6. King L. M., Nguyen H. T., and Lal S. K. L., "Early Driver Fatigue Detection from Electroencephalography Signals using Artificial Neural Networks", in Conf. Proc. IEEE Eng. Med. Biol. Soc., New York, NY, pp. 2187-2190, 2006.
7. Klimesch W., "EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis", Brain Research Reviews, Vol. 29, pp. 169-195, Apr. 1999.
8. Lal S. K. and Craig A, "Driver fatigue: Electroencephalography and psychological assessment", Psychophysiology, Vol. 39, pp. 313-321, May 2002.
9. Lotte F. and Guan C., "Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms", IEEE Trans. Biomedical Eng., Vol. 58, no 2, pp. 355-362, févr. 2011.
10. Paus T., Zatorre R.J., Hoe N., Caramanos Z., Gotman J., Petrides M., and Evans A.C., "Time-Related changes in neural systems underlying attention and arousal during the performance of an auditory vigilance task", Journal of Cognitive Neuroscience, Vol. 9, pp. 392-408, May 1997.
11. Rosipal, R., Peters, B., Kecklund, G., Akerstedt, T., Gruber, G., Woertz, M., Anderer, P. and Dorffner, G., "EEG-Based Drivers' Drowsiness Monitoring Using a Hierarchical Gaussian Mixture Model", Hum. Comp. Interaction, Vol. 16, pp. 294-303, 2007.
12. Roy R.N., Bonnet S., Charbonnier S. and Campagne A., "Mental fatigue and working memory load estimation: Interaction and implications for EEG-based passive BCI", in Proc. IEEE Eng. Med. Biol. Soc., Osaka, Japan, pp. 6607-6610, July 2013.
13. Shen K-O, Li X. P, Ong C.-J, Shao S.-Y, and Wilder-Smith E. P., "EEG-based mental fatigue measurement using multi-class support vector machines with confidence estimate", Clinical Neurophysiology, Vol. 119, pp. 1524-1533, July 2008.
14. Tanaka M., Shigihara Y., Ishii A., Funakura M., Kanai E., and Watanabe Y., "Effect of mental fatigue on the central nervous system: an electroencephalography study", Behavioral and Brain Functions, Vol. 8, no. 1, pp. 8-48, 2012.
15. Zhang C., Zheng C., and Yu X., "Evaluation of mental fatigue based on multi psycho physiological parameters and kernel learning algorithms", Chinese Science Bulletin, Vol. 53, pp. 1835-1847, June 2008.